MSI MS-7641
Geekbench AI Score
208
Single Precision Score
122
Half Precision Score
281
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| Upload Date | August 17 2024 01:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD FX-4300 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | MSI MS-7641 |
| Motherboard | MSI 760GM-P23(FX) (MS-7641) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD FX-4300 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
109
20.3 IPS |
|
|
Image Classification (HP)
|
100% |
39
7.19 IPS |
|
|
Image Classification (Q)
|
96% |
208
38.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
95
1.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
55
0.89 IPS |
|
|
Image Segmentation (Q)
|
97% |
197
3.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
258
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
263
0.31 IPS |
|
|
Pose Estimation (Q)
|
87% |
519
0.61 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.51 IPS |
|
|
Object Detection (HP)
|
100% |
52
4.09 IPS |
|
|
Object Detection (Q)
|
90% |
138
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
267
3.17 IPS |
|
|
Face Detection (HP)
|
100% |
81
0.96 IPS |
|
|
Face Detection (Q)
|
96% |
435
5.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
330
2.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
191
1.47 IPS |
|
|
Depth Estimation (Q)
|
76% |
405
3.26 IPS |
|
|
Style Transfer (SP)
|
100% |
770
0.99 IPS |
|
|
Style Transfer (HP)
|
100% |
581
0.75 IPS |
|
|
Style Transfer (Q)
|
87% |
1043
1.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
145
5.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
153
5.64 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
258
9.56 IPS |
|
|
Text Classification (SP)
|
100% |
196
261.0 IPS |
|
|
Text Classification (HP)
|
100% |
128
171.1 IPS |
|
|
Text Classification (Q)
|
97% |
126
168.4 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.29 IPS |
|
|
Machine Translation (HP)
|
100% |
142
2.45 IPS |
|
|
Machine Translation (Q)
|
60% |
177
3.95 IPS |
